Analysis of the learning effects between text-based and visual-based beginner programming environments

2016 ◽  
Author(s):  
Daisuke Saito ◽  
Hironori Washizaki ◽  
Yoshiaki Fukazawa
Keyword(s):  
Learning Effects ◽  
Programming Environments

Learning effects on interspecific communication between humans and domestic dogs

2010 ◽  
Author(s):  
Angel M. Elgier ◽  
Adriana Jakovcevic ◽  
Gabriela Barrera ◽  
Alba E. Mustaca ◽  
Mariana Bentosela
Keyword(s):  
Domestic Dogs ◽  
Interspecific Communication ◽  
Learning Effects

Learning Effects and Cell Information Use In Contingency Judgments

1991 ◽  
Author(s):  
Irwin P. Levin ◽  
Shu-Fang Kao ◽  
Edward A. Wasserman
Keyword(s):  
Information Use ◽  
Learning Effects ◽  
Contingency Judgments

Modulation of motivation and attention in perceptual learning: effects upon learning and cortical representation?

2010 ◽  
Vol 41 (01) ◽  
Author(s):  
S Lissek ◽  
O Höffken ◽  
P Stude ◽  
V Nicolas ◽  
H Dinse ◽  
...  
Keyword(s):  
Perceptual Learning ◽  
Cortical Representation ◽  
Learning Effects

Programming environments for pre-college instruction (Special Session)

1983 ◽  
Vol 15 (1) ◽  
pp. 247
Author(s):  
William E. Baird ◽  
Charles E. Rughes ◽  
J. Michael Moshell
Keyword(s):  
College Instruction ◽  
Special Session ◽  
Programming Environments

scholarly journals Toward a Self-Adaptive Cyberdefense Framework in Organization

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402098885
Author(s):  
Kuan-Jui Huang ◽  
Kuo-Huie Chiang
Keyword(s):  
Information System ◽  
Organizational Learning ◽  
Intelligent Agents ◽  
Coordination Mechanism ◽  
Learning Effects ◽  
Adaptive Model ◽  
Dynamic Propagation ◽  
The Future ◽  
Adaptive Framework ◽  
Self Adaptive

Organizations suffer more than ever from the inability to securely manage the information system, despite their myriad efforts. By introducing a real cyberattack of a bank, this research analyzes the characteristics of modern cyberattacks and simulates the dynamic propagation that makes them difficult to manage. It develops a self-adaptive framework that through simulation, distinctly improves cyberdefense efficiency. The results illustrate the discrepancies of the previous studies and validate the use of a time-based self-adaptive model for cybersecurity management. The results further show the significance of human and organizational learning effects and a coordination mechanism in obtaining a highly dependable cyberdefense setting. This study also provides an illuminating analysis for humans to position themselves in the collaborations with increasingly intelligent agents in the future.

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